figure sig_3 = interp1(time,sig_2,interp1(i,j,time,'pchip'),'pchip'); plot(time,sig_1,time,sig_2,time,sig_3) legend('Reference','Distorted Signal','Corrected Signal') title('Non-linear Warping Example') Plot the real and the estimated warping functions. ...
In order to determine the minimum total distance routes, the solution recommendation by adapting the Capacity Constrained Vehicle Routing Problem (CVRP) which is one of the basic route problems using Branch and Cut algorithm of 0-1 Integer Linear Programming (ILP) was introduced....
Methodologically, these definitions also allow us to replace the parametric estimation problems that followed the ‘counterfactual’ definition of causal effects by combinatorial enumeration and randomization problems in non-experimental samples. We use the resulting non-parametric framework to demonstrate (...
Žáčková, J.: On minimax solutions of stochastic linear programming problems. Časopis pro pěstování matematiky 91(4), 423–430 (1966) MathSciNet MATH Google Scholar Download references Acknowledgements The authors would like to thank the anonymous reviewers and associate editor for their...
Interacting Particles and their Applications in Optimization 51:48 High-Order Accuracy Computation of Coupling Functions for Strongly Coupled Oscil 44:34 Footnotes to Turing (1952)_ Some Modern Challenges in Pattern Formation 1:02:03 Finite sample rates for optimal transport estimation problems 1:03:...
5.5 Problems and limitations of on site investigations Numerous works in this review where performed in laboratory conditions, where the authors are able to measure and control crucial parameters. Knowledge about the thickness of objects, the material composition, a uniform water distribution, available...
The traditional A* algorithm suffers from issues such as sharp turning points in the path, weak directional guidance during the search, and a large number of computed nodes. To address these problems, a modified approach called the Directional Search A*
Dealing with small sample size problems in process industry using virtual sample generation: A Kriging-based approach. Soft Computing , 2020 , 24(9): 6889 -6902 CrossRef Google Scholar [128] Gong H F, Chen Z S, Zhu Q X, He Y L. A Monte Carlo and PSO based virtual sample gene...
A new approach to linear filtering and prediction problems. J. Basic Eng. , 1960 , 82(1): 35 -45 CrossRef Google Scholar [9] K. Reif, S. Günther, E. Yaz, and R. Unbehauen. Stochastic stability of the discrete-time extended Kalman filter. IEEE Trans. Autom. Control , 1999 ...
TheSciPy, also known as the Scientific Python library, is an open-source Python library that solves scientific and mathematical problems. Several high-level Python commands are available for manipulating and visualizing data in theSciPylibrary. ...